Abstract
Parallel reduction algorithms are frequent in high performance computing areas, thus, modern parallel programming toolkits and languages often offer support for these algorithms. This article discusses important implementation aspects of built-in support for parallel reduction found in well-known OpenMP C/C++ language extension. It shows that the implementation in widely used GCC compiler is not efficient and suggests usage of custom reduction implementation improving the computational performance.
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Notes
- 1.
For example various image processing algorithms which operate with number of image pixels per single reduction operation.
- 2.
CPUs which do some useful work.
References
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Acknowledgments
The research was supported by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089.
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© 2014 Springer International Publishing Switzerland
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Bližňák, M., Dulík, T., Jašek, R. (2014). Performance Analysis of Built-in Parallel Reduction’s Implementation in OpenMP C/C++ Language Extension. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Silhavy, P., Prokopova, Z. (eds) Modern Trends and Techniques in Computer Science. Advances in Intelligent Systems and Computing, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-319-06740-7_52
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DOI: https://doi.org/10.1007/978-3-319-06740-7_52
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